Application of the empirical mode decomposition in the study of murmurs from arteriovenous fistula stenosis
(2010) Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010- Abstract
- The Empirical Mode Decomposition (EMD) is a
method to decompose non linear, non stationary time series into
a sum of different modes, named Intrinsical Mode Functions
each one having a characteristic frequency. In the present work
we used the EMD to investigate the properties of the recorded
sounds from the Arteriovenous fistula on hemodialysis patients.
Phonoangiographic signals coming from two different vessel
conditions, stenotic and non-stenotic, were analyzed by using
EMD, the mean energy and mean instantaneous frequency per
IMF proved to be good features for classification. Three types
of classification schemes were tested on data from the first... (More) - The Empirical Mode Decomposition (EMD) is a
method to decompose non linear, non stationary time series into
a sum of different modes, named Intrinsical Mode Functions
each one having a characteristic frequency. In the present work
we used the EMD to investigate the properties of the recorded
sounds from the Arteriovenous fistula on hemodialysis patients.
Phonoangiographic signals coming from two different vessel
conditions, stenotic and non-stenotic, were analyzed by using
EMD, the mean energy and mean instantaneous frequency per
IMF proved to be good features for classification. Three types
of classification schemes were tested on data from the first IMf
features achieving good results. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1692667
- author
- Vasquez Obando, Pablo LU ; Munguia Mena, Marco LU ; Mattsson, Elisabeth and Mandersson, Bengt LU
- organization
- publishing date
- 2010
- type
- Contribution to conference
- publication status
- published
- subject
- pages
- 4 pages
- conference name
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
- conference location
- Buenos Aires, Argentina
- conference dates
- 2010-08-31 - 2010-09-04
- external identifiers
-
- scopus:78650826802
- language
- English
- LU publication?
- yes
- id
- d9d12fb4-7a18-43c6-bf22-0acacbceeede (old id 1692667)
- date added to LUP
- 2016-04-04 14:14:02
- date last changed
- 2022-01-30 01:39:34
@misc{d9d12fb4-7a18-43c6-bf22-0acacbceeede,
abstract = {{The Empirical Mode Decomposition (EMD) is a<br/><br>
method to decompose non linear, non stationary time series into<br/><br>
a sum of different modes, named Intrinsical Mode Functions<br/><br>
each one having a characteristic frequency. In the present work<br/><br>
we used the EMD to investigate the properties of the recorded<br/><br>
sounds from the Arteriovenous fistula on hemodialysis patients.<br/><br>
Phonoangiographic signals coming from two different vessel<br/><br>
conditions, stenotic and non-stenotic, were analyzed by using<br/><br>
EMD, the mean energy and mean instantaneous frequency per<br/><br>
IMF proved to be good features for classification. Three types<br/><br>
of classification schemes were tested on data from the first IMf<br/><br>
features achieving good results.}},
author = {{Vasquez Obando, Pablo and Munguia Mena, Marco and Mattsson, Elisabeth and Mandersson, Bengt}},
language = {{eng}},
title = {{Application of the empirical mode decomposition in the study of murmurs from arteriovenous fistula stenosis}},
year = {{2010}},
}